Have you fixed the NGC catalog PyTroch issue for this case?

Autonomous Machines Jetson & Embedded Systems Jetson AGX Orin
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1

Hi

I was testing the YOLOv5 repo on the AGX Orin Dev Kit with Jetpack 5.0.2 (35.1.0), with the Pytorch-L4T containers found here: NVIDIA L4T PyTorch | NVIDIA NGC .

I’m using l4t-pytorch:r35.1.0-pth1.12-py3.

But I get the below error.

RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

I found someone on this forum with a similar problem.

Have you fixed the NGC catalog PyTroch issue for this case?

3

Hi,

Not yet. Please use the container mentioned in the below comment instead:

Thanks

5

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